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researcher

M. Niazi

3 papers hereh-index 222.3k citations72 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
same name
  • M. Niazi — 3 papers, h 1
  • M. Niazi — 3 papers, h 2
  • M. Niazi — 1 paper, h 1
  • M. Niazi — 1 paper, h 3
  • M. Niazi — 1 paper, h 0
  • M. Niazi — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedAttention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images

24 citations · 25 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2026

Morphology-aware deep learning predicts colorectal cancer survival from whole-slide images

Hikmat Khan, Metin N. Gurcan, Anil Parwani +3

Background: Five-year survival prediction from hematoxylin-and-eosin whole-slide images could support risk stratification, but the task is weakly supervised, and the tissue morphol…

cs.CV2023★ 1 cited

Cross-attention-based saliency inference for predicting cancer metastasis on whole slide images

Ziyu Su, Mostafa Rezapour, Usama Sajjad +3

Although multiple instance learning (MIL) methods are widely used for automatic tumor detection on whole slide images (WSI), they suffer from the extreme class imbalance within the…

cs.CV2023★ 24 cited

Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images

Ziyu Su, Mostafa Rezapour, Usama Sajjad +2

Multiple instance learning (MIL) models have achieved remarkable success in analyzing whole slide images (WSIs) for disease classification problems. However, with regard to gigapix…

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